流体管道的泄漏状态检测和尺寸识别,具有新型声学排放强度指数和随机森林
Tuan-Khai Nguyen1, Zahoor Ahmad1, Jong-Myon Kim1
1Department of Electrical, Electronics, and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.
Sensors (Basel, Switzerland)
|November 25, 2023
概括
本研究引入了一种新的方法,用于检测和测量管道泄漏,使用声辐射 (AE) 活动强度指数曲线 (AIIC) 和随机森林分析. 该方法准确地识别泄漏及其大小,优于现有方法.
科学领域:
- 工程 工程师 工程师 工程师
- 材料科学 材料科学 材料科学
- 数据科学数据科学数据科学
背景情况:
- 工业流体管道是关键基础设施,需要可靠的泄漏检测.
- 声辐射 (AE) 监测是检测异常的一个有前途的技术.
- 现有的AE方法难以处理多源声学事件和精确的泄漏大小.
研究的目的:
- 在工业流体管道中开发一种准确和可靠的方法来检测泄漏状态和尺寸识别.
- 为了应对AE数据中多源声学事件的挑战.
- 改进现有的泄漏检测和尺寸算法.
主要方法:
- 从预处理的AE数据计算b值.
- 构建声辐射 (AE) 活动强度指数曲线 (AIIC).
- 贝叶斯集团的应用用于变化点检测以识别状态变化.
- 使用随机森林 (RF) 模型来识别基于AIIC的泄漏大小.
主要成果:
- 该AIIC有效地描述AE强度,并稳定地检测泄漏状态,即使有干扰噪声源.
- 拟议的方法成功地区分了正常和泄漏的管道条件.
- 该方法可以准确地区分不同的泄漏大小.
- 实验结果表明,拟议的方法在准确性方面优于两种最先进的方法.
结论:
- 建议使用AIIC,b值和RF的基于AE的方法为管道泄漏检测和尺寸识别提供了高度准确的解决方案.
- 这种方法在管道完整性监测方面取得了重大进展,特别是在复杂的声学环境中.
- 这些发现表明工业管道安全和维护的新标准.
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